ManTech
Data Scientist
ManTech, Herndon, Virginia, United States, 22070
Secure our Nation, Ignite your FutureBecome an integral part of a diverse team while working at an Industry Leading Organization, where our employees come first. At
ManTech , you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.Currently,
ManTech
is seeking a motivated, career and customer-oriented
Data Scientist
to join our team in
Herndon, VA . This is a
Hybrid
position.Responsibilities include but are not limited to:
Research and evaluate emerging data science technologies – Generative AI, Quantum, Image Compression and Recall, and Self Supervised Learning.Stay current on published state-of-the-art data science and analytics methods and applications and seek out opportunities to apply them against customer use cases.Develop statistical and advanced analytics models using advanced analytic techniques – Natural Language Processing, Graph, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation.Work on proof-of-concept studies and research prototypes; Creating prototypes to implement data models.Perform knowledge elicitation from customer business problem and understanding and convert that to derived algorithms.Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.Identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques.Translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the customer.Perform solution development through whiteboarding sessions – Algorithmic problems, data manipulation tasks, or other technical challenges related to data science.Communicate findings to diverse technical and non-technical stakeholders and engage customer to distill complex technical language.Basic Qualifications:
Bachelor's Degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 10 years of experience OR a Master's degree and 8 years of experience.In depth knowledge with cloud providers (e.g., AWS, Azure and GCP) and experience working across environments and on premise.Strong experience working with Python or R programming languages.Experience constructing and performing complex database search queries using Apache NiFi for data ETL, SQL for database management and pandas in Python for data processing.Experience in Machine Learning to include - Feature extraction statistical approaches, linear and non-linear classifiers, and deep learning.High level of competence in big data technology – Hadoop, Spark, etc.Preferred Qualifications:
Master's degree or PhD in a related field.Experience with analyzing and reporting diverse data.Knowledge of natural language processing techniques.Knowledge of commercial Cloud services used by the Intelligence Community (IC).Ability to be a self-starter and take initiative.Possession of excellent oral and written communication skills, including communicating information to a senior executive audience.Clearance Requirements:
Must have current, active TS/SCI clearance with a polygraph.Physical Requirements:
Must be able to be in a stationary position more than 50% of the time.Must be able to communicate, converse, and exchange information with peers and senior personnel.Constantly operates a computer and other office productivity machinery, such as a computer.The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
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ManTech , you’ll help protect our national security while working on innovative projects that offer opportunities for advancement.Currently,
ManTech
is seeking a motivated, career and customer-oriented
Data Scientist
to join our team in
Herndon, VA . This is a
Hybrid
position.Responsibilities include but are not limited to:
Research and evaluate emerging data science technologies – Generative AI, Quantum, Image Compression and Recall, and Self Supervised Learning.Stay current on published state-of-the-art data science and analytics methods and applications and seek out opportunities to apply them against customer use cases.Develop statistical and advanced analytics models using advanced analytic techniques – Natural Language Processing, Graph, Computer Vision, modeling and simulation, Operations Research, anomaly detection, data visualization and metrics creation.Work on proof-of-concept studies and research prototypes; Creating prototypes to implement data models.Perform knowledge elicitation from customer business problem and understanding and convert that to derived algorithms.Apply design thinking or other solution-based methods to solve problems consisting of various qualitative activities that support the generation of insightful, human-centered and impactful design solutions.Identify AI challenges in non-AI projects to enhance the capabilities of data scientists by automating repetitive tasks, uncovering patterns, and providing advanced analytics and predictive modeling techniques.Translate technical requirements to agile tasks to prioritize models and data according to the goals and requirements of the customer.Perform solution development through whiteboarding sessions – Algorithmic problems, data manipulation tasks, or other technical challenges related to data science.Communicate findings to diverse technical and non-technical stakeholders and engage customer to distill complex technical language.Basic Qualifications:
Bachelor's Degree in Computer Science, Engineering, or Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, or related field and 10 years of experience OR a Master's degree and 8 years of experience.In depth knowledge with cloud providers (e.g., AWS, Azure and GCP) and experience working across environments and on premise.Strong experience working with Python or R programming languages.Experience constructing and performing complex database search queries using Apache NiFi for data ETL, SQL for database management and pandas in Python for data processing.Experience in Machine Learning to include - Feature extraction statistical approaches, linear and non-linear classifiers, and deep learning.High level of competence in big data technology – Hadoop, Spark, etc.Preferred Qualifications:
Master's degree or PhD in a related field.Experience with analyzing and reporting diverse data.Knowledge of natural language processing techniques.Knowledge of commercial Cloud services used by the Intelligence Community (IC).Ability to be a self-starter and take initiative.Possession of excellent oral and written communication skills, including communicating information to a senior executive audience.Clearance Requirements:
Must have current, active TS/SCI clearance with a polygraph.Physical Requirements:
Must be able to be in a stationary position more than 50% of the time.Must be able to communicate, converse, and exchange information with peers and senior personnel.Constantly operates a computer and other office productivity machinery, such as a computer.The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
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